Title :
Distributed User Association and Femtocell Allocation in Heterogeneous Wireless Networks
Author :
Bayat, Siavash ; Louie, Raymond H. Y. ; Zhu Han ; Vucetic, Branka ; Yonghui Li
Author_Institution :
Electron. Res. Inst., Sharif Univ. of Technol., Tehran, Iran
Abstract :
Deployment of low-power low-cost small access points such as femtocell access points (FAPs) constitute an attractive solution for improving the existing macrocell access points´ (MAPs) capacity, reliability, and coverage. However, FAP deployment faces challenging problems such as interference management and the lack of flexible frameworks for deploying the FAPs by the service providers (SPs). In this paper, we propose a novel solution that jointly associates the user equipment (TIE) to the APs, and allocates the FAPs to the SPs such that the the total satisfaction of the TIEs in an uplink OFDMA network is maximized. We model the competitive behaviors among the TIEs, FAPs, and SPs as a dynamic matching game and we propose distributed algorithms to find the optimal TIE association and FAP allocations. We show analytically that the matching algorithms converge to the optimal and stable outcomes after a small number of iterations. Simulations and analytical results show the proposed mechanism is arbitrarily close to the global optimal solution by setting a design parameter (step number) but has significantly reduced overhead and complexity over the centralized algorithm.
Keywords :
OFDM modulation; distributed algorithms; femtocellular radio; frequency division multiple access; optimisation; radiofrequency interference; resource allocation; FAP deployment; distributed algorithms; distributed user association; dynamic matching game; femtocell access points; femtocell allocation; heterogeneous wireless networks; interference management; macrocell access points; matching algorithms; orthogonal frequency division multiple access; uplink OFDMA network; user equipment association; Algorithm design and analysis; Games; Heuristic algorithms; Interference; Optimization; Resource management; Wireless communication; Femtocell allocation; distributed algorithm; open access; resource allocation; user association;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2014.2339313